Semantic Router
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
소개
Semantic Router is an intelligent Mixture-of-Models (MoM) router designed to optimize large language model (LLM) inference by semantically analyzing incoming requests and dynamically directing them to the most appropriate models and tools. It enhances overall accuracy by leveraging specialized models for different tasks, reduces latency through similarity caching, and strengthens enterprise security with integrated PII detection and prompt guarding. The system also supports automatic system prompt injection for varied domains and provides comprehensive observability with OpenTelemetry distributed tracing and Open WebUI integration, making it a robust solution for managing complex LLM workflows efficiently.
주요 기능
- Semantic similarity caching to reduce prompt tokens and improve inference latency
- Intelligent Mixture-of-Models routing for LLM requests based on semantic understanding
- Automated tool selection and category-specific system prompt injection
- Integrated PII detection and prompt guarding for enhanced enterprise security
- Comprehensive observability with OpenTelemetry distributed tracing and Open WebUI integration
- 1,839 GitHub stars
사용 사례
- Optimizing LLM inference by dynamically routing requests to task-specific models
- Enhancing LLM application security with built-in PII detection and jailbreak prevention
- Automating prompt engineering and tool selection for diverse and complex LLM tasks
